MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks

Research article (Scientific Data, 2022) · cited 125× · AI/ML
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MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks

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MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks. Retrieved May 24, 2026, from https://4ort.xyz/entity/mofsimplify-machine-learning-models-with-extracted-stability-data-of-three-thousand-metalorganic-frameworks
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BibTeX @misc{4ortxyz_mofsimplify-machine-learning-models-with-extracted-stability-data-of-three-thousand-metalorganic-frameworks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks}}, year = {2026}, url = {https://4ort.xyz/entity/mofsimplify-machine-learning-models-with-extracted-stability-data-of-three-thousand-metalorganic-frameworks}, note = {Accessed: 2026-05-24}}
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